面向节点重要性评价的城市道路交通网络失效模型研究

发布时间：2018-03-20 11:33

本文选题：交通网络　切入点：复杂网络　出处：《北方工业大学》2017年硕士论文　论文类型：学位论文

【摘要】：随着城市机动车辆的大幅度增长,城市交通问题变得日益严峻;城市交通系统庞大而复杂,经过研究发现城市道路交通网络具有明显的复杂网络特征,因此,为了缓解交通的拥堵问题,一些学者们开始研究如何将复杂网络的知识运用到城市道路交通领域。本文在复杂网络理论的基础上,建立了城市道路交通网络模型,提出了基于SIS的动态失效模型,设计了考虑动态失效的路网节点重要性评价方法,并以北京市城市道路交通网络为例,分析了路网的统计特征以及其在静态失效条件下重要统计特征的变化,通过对路网的动态失效模型的实验仿真,深入分析了交通网络拥堵动态演进过程,并分析了考虑动态失效的路网节点重要性。本文首先构建了城市道路交通网络的三种网络模型,探讨了路网节点重要性静态评估方法,继而结合交通网络的特点和传染病模型原理,建立了基于SI的动态失效模型和基于SIS的动态失效模型,通过对它们进行对比分析得知,在较长时间跨度内,基于SIS的动态失效模型比基于SI的动态失效模型更为合理。其次,在基于SIS的动态失效模型基础上,结合路网节点重要性静态评估方法,提出了一种考虑动态失效的路网节点重要性评价方法,即路网节点重要性动态评估方法,通过静态评估方法和动态评估方法的对比分析,证明了路网节点重要性动态评估方法的合理性。再次,构建了北京市城市道路交通网络的三种网络模型,通过实验分析得知抽象网络有其随机网络的特点,基础设施网络和动态交通流网络均有无标度网络的特点,通过实验分析了三种网络在不同失效模式下的重要统计特征,表明基础设施网络和以旅行时间为权值的动态交通流网络在随机性失效条件下具有很强的鲁棒性,在蓄意失效条件下具有很强的脆弱性。最后,通过实验分析了动态失效条件下路网阻塞系数,得知蓄意失效条件下,网络拥堵速度较随机失效条件下快,并且最终的拥堵规模更大;通过对不同影响能力系数条件下路网阻塞系数进行实验分析,得知节点间的耦合强度对拥堵传播有重要影响,最后,通过实验仿真对考虑动态失效的北京市城市道路交通网络的节点重要性进行了评价。
[Abstract]:With the rapid growth of urban motor vehicles, urban traffic problems become more and more serious, and the urban traffic system is huge and complex. Through the research, it is found that urban road traffic network has obvious complex network characteristics, so, In order to alleviate the problem of traffic congestion, some scholars begin to study how to apply the knowledge of complex network to the field of urban road traffic. In this paper, based on the theory of complex network, a model of urban road traffic network is established. This paper presents a dynamic failure model based on SIS, designs a method to evaluate the importance of road network nodes considering dynamic failure, and takes the urban road traffic network in Beijing as an example. This paper analyzes the statistical characteristics of the road network and the changes of its important statistical characteristics under the static failure condition. Through the experimental simulation of the dynamic failure model of the road network, the dynamic evolution process of the traffic network congestion is deeply analyzed. The importance of road network node considering dynamic failure is analyzed. Firstly, three kinds of network models of urban road traffic network are constructed, and the static evaluation method of road network node importance is discussed. Then, combining the characteristics of traffic network and the principle of infectious disease model, the dynamic failure model based on SI and the dynamic failure model based on SIS are established. The dynamic failure model based on SIS is more reasonable than the dynamic failure model based on SI. Secondly, based on the dynamic failure model based on SIS, combined with the static evaluation method of road network node importance, In this paper, a method for evaluating the importance of road network nodes considering dynamic failure is proposed, that is, the dynamic evaluation method of road network node importance, which is compared with the static evaluation method and the dynamic evaluation method. This paper proves the rationality of the dynamic evaluation method of road network node importance. Thirdly, three kinds of network models of Beijing urban road traffic network are constructed, and the abstract network has the characteristics of random network through experimental analysis. Both infrastructure network and dynamic traffic flow network have the characteristics of scale or not. The important statistical characteristics of three kinds of networks under different failure modes are analyzed through experiments. It is shown that the infrastructure network and the dynamic traffic flow network weighted by travel time have strong robustness under random failure conditions and strong vulnerability under deliberate failure conditions. Through the experimental analysis of road network congestion coefficient under dynamic failure condition, it is known that the network congestion speed is faster than that under random failure condition, and the final congestion scale is larger. Through the experimental analysis of road network congestion coefficient under different influence capacity coefficient, it is known that the coupling strength between nodes has an important effect on congestion propagation. The node importance of Beijing urban road traffic network considering dynamic failure is evaluated by experimental simulation.
【学位授予单位】：北方工业大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：U491.13;O157.5

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